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Offer Description

We are offering an exciting postdoctoral position at the University of Barcelona, within the Artificial Intelligence in Medicine lab ( ), new trustworthy AI solutions for for multimodal medical imaging to support diagnosis and clinical decision-making in respiratory diseases, including tuberculosis and pneumonia.

Concretely, we offer:

- A research position in beautiful Barcelona and its Mediterranean climate.
- Research experience within a prestigious university (1st position in Spain).
- Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (12 active projects including an ERC grant).
- An international research environment by joining a multi-cultural team representing all continents.
- Opportunities to collaborate with international and inter-disciplinary collaborators as part of the European projects.
- Support in career development (e.g. grant applications, supervision of PhD students).
- Travelling opportunities to scientific events, project meetings and international stays.
- Freedom to independently conduct research and contribute with own ideas.
- Versátil working hours, with possibility to telework.
- Competitive salary equivalent to Assistant or Associate Professor at the University of Barcelona, depending on experience.

Contract duration until the end of the projects (minimum one year renewable), with the possibility to extend the contract as part of other grants within the lab.

The requirements for the position are: * Proven experience with machine and deep learning algorithms (e.g. CNNs, Transformers, representation learning) applied to multimodal biomedical imaging data (MRI, X-ray/CXR, ultrasound).

- Strong background in biomedical data science, including multi-center dataset curation, harmonisation, and analysis of high-dimensional imaging and clinical data.
- Demonstrated expertise in medical image analysis, including segmentation, classification, anomaly detection, and treatment response prediction.
- Excellent programming skills in Python (PyTorch, TensorFlow, Scikit-learn), including experience with GPU-accelerated training and scalable ML pipelines.
- Strong enthusiasm for research and clinical translation of AI in medical imaging, particularly in real-world healthcare settings.
- Proven ability to work independently, lead end-to-end AI projects, and deliver results within deadlines.

Demonstrated ability to collaborate with local and international partners across clinical, technical, and research institutions in multi-center projects.

Furthermore, knowledge in any of the following areas are desirable (but optional): * Experience in bias detection, fairness assessment, and robustness evaluation in medical imaging AI.

- Expertise in transfer learning and domain adaptation for handling distribution shifts across datasets and imaging centres.
- Knowledge of uncertainty estimation and model reliability in clinical AI applications.
- Familiarity with federated learning and privacy-preserving AI, including distributed training across multi-site medical datasets.
- Background in bioinformatics and/or biomedical informatics, including integration of imaging and clinical metadata.
- Experience with personalised/precision medicine approaches, including predictive modelling for patient-specific outcomes.

Knowledge of digital health and large-scale AI infrastructures, including data platforms, reproducibility, and deployment considerations.





The research projects:

AFRICAI-RI is a ground-breaking initiative designed to substantially improve healthcare in Sub-Saharan Africa (SSA) by establishing the region's first federated, multi-institutional imaging research infrastructure. The project will leverage European and African expertise to adapt successful data infrastructures and imaging solutions to diverse environments across SSA.

AFRICAI-RI will address the critical challenges posed by infectious diseases and the scarcity of medical imaging experts in the region. Furthermore, it will foster healthcare innovation by deploying federated learning technologies to enhanced access to large imaging data in a privacy-preserving, trusted fashion. Furthermore, the project will develop AI tools optimised for the diagnosis of tuberculosis and pneumonia in both adults and children, while ensuring their applicability across different imaging modalities such as X-ray and ultrasound.

AFRICAI-RI is also committed to building local capacity by enhancing expertise in AI and clinical research through extensive training and stakeholder engagement. Additionally, the project aims to drive academic and economic opportunities by promoting new models of IP management and AI certification specific to the needs of SSA. The consortium will work closely with both local and international public health organisations to develop ethical guidelines and policy frameworks that enable the sustainable integration of AI in imaging diagnostics across SSA. Ultimately, AFRICAI-RI aspires to create a lasting infrastructure that not only addresses immediate healthcare needs but also fosters ongoing innovation and collaboration within the African continent and beyond.

The group:

The successful candidate will join the Artificial Intelligence in Medicine Lab ( ), which is an integral part of the University of Barcelona's Faculty of Mathematics and Computer Science. It is a young and dynamic research lab, highly active in international projects, and composed of
25 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation in European and international projects (
10 million Euros over the last 5 years) in biomedical data science and medical AI (e.g. EuCanImage, euCanSHare, EarlyCause, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF, YOUTHreach).

The institution:

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2022, Shanghai Ranking 2022).



It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. The University of Barcelona is part of the prestigious League of European Universities Research (LERU).

Gross salary per year: 46.000 €.

The application period is from 4 to 15 May 2026, both inclusive.

Where to apply Website

Requirements

Research Field Computer science Education Level PhD or equivalent

Research Field Other Education Level PhD or equivalent

Skills/Qualifications

- Machine Learning & Deep Learning: CNNs, Transformers, Autoencoders, Diffusion models

- Predictive modelling: classification, clustering, representation learning, embeddings

- High-dimensional biomedical data modelling (imaging, sequences, metadata, 2D, 3D)

- Excellent programming skills (e.g. in Python, PyTorch, TensorFlow, Scikit-learn, NumPy, pandas)

- At least 3 JCR-indexed publications as first author on related topics.

- Excellent English, both oral and written

- Ability to independently present results

Specific Requirements

- Good team spirit and participation in the scientific life of the lab

- Aptitude to work independently, to lead on project deliverables to co-supervise students, and to represent the lab at meetings and events

- Aptitude to collaborate with both technical and clinical collaborators

- Passion for applications of artificial intelligence to biomedicine

- Strong writing and speaking skills.

Languages ENGLISH Level Excellent

Research Field Computer science Years of Research Experience 4 - 10

Additional Information

Eligibility criteria

- • Adequacy of the CV (maximum 50)

· Specialty doctorate (30), generic doctorate (20)

- Letter of motivation (maximum 20)

- Experience in the field (maximum 30).

Minimum score to pass the selection process: 60/100 points.

Selection process

An interview will be conducted if the evaluation committee deems it necessary.

Required documentation:

- CV (include contact details of people from whom references or reports can be requested)

- Motivational letter

- Registration form (online GAIA)

*Be in possession of the doctor's degree at the time of the formalization of the contract

Additional comments

Duration of the contract of employment: 12 months, renewable up to 31/08/2029.

The candidate proposed for hiring must accept the job offer within 3 working days from the date of notification of the selection.

Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).

Be aware that the starting date sets in this offer is an estimate date. The official starting date will depend on the bureaucratic time that will take the preparation of the labour contract and presentation of the necessary documents to be hired by the selected candidate.

For additional information regards this offer, please, contact Website for additional job details

Work Location(s)

Number of offers available 1 Company/Institute Universitat de Barcelona Country Spain State/Province Barcelona City Barcelona Postal Code 08007 Street Gran Via de les Corts Catalanes, 585 Geofield

Contact State/Province

Barcelona City

Barcelona Website

Street

Gran Via de les Corts Catalanes, 585 Postal Code

08007 E-Mail

[email protected]

STATUS: EXPIRED

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📌 Postdoctoral position in Barcelona on AI in Medical Imaging - AFRICAI-RI
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